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Estimating orbital parameters of direct imaging exoplanet using neural networks

Bo Liang^1,2,*, Chang Liu^3,*, Hanlin Song ^1,4,*,†, Tianyu Zhao^1,‡, Yuxiang Xu^1,5, Zihao Xiao^1,3, Manjia Liang¹, Minghui Du¹, Wei-Liang Qian ⁶ et al.

Li-e Qiang ¹, Mingming Sun ⁷, Peng Xu^1,8,9,§, and Ziren Luo^1,8

¹Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
²Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
³National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
⁴School of Physics, Peking University, Beijing 100871, China
⁵Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
⁶Escola de Engenharia de Lorena, Universidade de São Paulo, Lorena 12602-810, SP, Brazil
⁷AGI Laboratory, Beijing Institute of Mathematical Sciences and Applications, Beijing, China
⁸Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
⁹Lanzhou Center of Theoretical Physics, Lanzhou University, Lanzhou 730000, China

^*These authors contributed equally to this work.
^†Contact author: hanlin@stu.pku.edu.cn
^‡Contact author: zhaotianyu@imech.ac.cn
^§Contact author: xupeng@imech.ac.cn

Estimating orbital parameters of direct imaging exoplanet using neural networks

Bo Liang, Chang Liu, Hanlin Song, Tianyu Zhao, Yuxiang Xu, Zihao Xiao, Manjia Liang, Minghui Du, Wei-Liang Qian, Li-e Qiang, Mingming Sun, Peng Xu, and Ziren Luo

Phys. Rev. Research 8 023341 (2026)

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Estimating orbital parameters of direct imaging exoplanet using neural networks

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